R: Goodness-of-Fit Tests for Location-Scale Distributions via Lorenz Curve

# Goodness-of-Fit Tests for Location-Scale Distributions via Lorenz Curve

## Documentation for package ‘gofLorenz’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

breaking_strength | Breaking Strength Data under Progressive Type-II Censoring
calc_lorenz_stats | Compute Lorenz Curve Test Statistics (Lee 2024)
calc_p | Calculate Expected Uniform Order Statistics under Progressive Censoring
calc_pakyari_stats | Compute Pakyari and Balakrishnan (2013) Test Statistics
fit_progressive_mle | Fit Location and Scale Parameters under Progressive Censoring via MLE
get_quantile_vals | Theoretical Quantiles for Location-Scale Distributions
gof_lorenz | Goodness-of-Fit Tests for Location-Scale Distributions Based on Lorenz Curve
insulating_fluid | Log-Transformed Insulating Fluid Data under Progressive Type-II Censoring
lorenz_plot | Plot Method for Lorenz Curve Goodness-of-Fit Diagnostics (L-plot)
mLC_sample | Modified Sample Lorenz Curve
mLC_theory | Theoretical Modified Lorenz Curve
plot.gof_lorenz | Plot Method for gof_lorenz Objects
print.gof_lorenz | Print Method for Lorenz Goodness-of-Fit Test Results
rLC_calc | Ratio Modified Lorenz Curve
rprcs | Generate Random Progressive Type-II Censored Samples
summary.gof_lorenz | Summary Method for Lorenz Goodness-of-Fit Test Results